5 citations · 13 across the 3 of their papers we have counts for
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eess.AS2018
Pitch-synchronous DCT features: A pilot study on speaker identification
Amit Meghanani, A G Ramakrishnan
We propose a new feature, namely, pitchsynchronous discrete cosine transform (PS-DCT), for the task of speaker identification. These features are obtained directly from the voiced…
eess.AS2018
Using Monte Carlo dropout for non-stationary noise reduction from speech
Nazreen P. M., A. G. Ramakrishnan
In this work, we propose the use of dropout as a Bayesian estimator for increasing the generalizability of a deep neural network (DNN) for speech enhancement. By using Monte Carlo…
eess.AS2018
DNN Based Speech Enhancement for Unseen Noises Using Monte Carlo Dropout
Nazreen P M, A G Ramakrishnan
In this work, we propose the use of dropouts as a Bayesian estimator for increasing the generalizability of a deep neural network (DNN) for speech enhancement. By using Monte Carlo…